Specialist Data Scientist

SUMMARY:
MpiloTech, established in 2015, pioneers’ cutting-edge technology solutions in Digital Banking and Multi Experience App Development, specializing in Cloud-native and agnostic solutions. Leveraging our Development Best Practice (CMMI 3.0) Consulting arm, we deliver enterprise-grade solutions with predictable outcomes and serve as strategic advisors to our enterprise customers.
Our mission is to combat unemployment in South Africa and across Africa by creating 10 000 jobs in Digital Transformation by 2030. Through initiatives like our Unearthing Greatness in Unexpected Places Program, Impi League Graduate Program, and Resource Augmentation service, we identify top IT talent to join our Software Development teams, providing opportunities to work on impactful client projects.
Currently, we are seeking candidates for a Specialist Data Scientist with expertise in Develop and optimize market-making models for equities and derivatives. Perform back testing and research to enhance and innovate trading algorithms. Analyze high-frequency trading data to identify actionable trends. Apply machine learning techniques (LSTM, CNN) for short-term price predictions. Work with AWS tools (S3, Sage Maker) for model training and deployment.
Conduct time-based and volume-based data sampling. Ensure robust model performance across in-sample and out-sample data. Collaborate cross-functionally to integrate new indicators and improve model accuracy.

POSITION INFO:
Responsibilities:

• Assist in the development and optimization of market-making models, focusing on equities and equity derivatives.
• Conduct back testing and research to improve current models and develop new ones.
• Analyze high-frequency trading data to identify patterns and trends.
• Implement machine learning techniques, particularly LSTMs and convolutional networks, to predict short-term price movements.
• Collaborate with teams to integrate new indicators and models into production environments.
• Work with AWS infrastructure, including S3 buckets and Sage Maker, for data processing and model training.
• Generate and analyze data samples, including time-based and volume-based sampling.
• Ensure the robustness of models by balancing in-sample and out-sample results.
• Assist in the development and optimization of market-making models, focusing on equities and equity derivatives. Conduct back testing and research to improve current models and develop new ones.
• Analyze high-frequency trading data to identify patterns and trends. Implement machine learning techniques, particularly LSTMs and convolutional networks, to predict short-term price movements.
• Collaborate with teams to integrate new indicators and models into production environments.
• Work with AWS infrastructure, including S3 buckets and Sage Maker, for data processing and model training, or possibly an alternative similar platform.
• Generate and analyze data samples, including time-based and volume-based sampling. Ensure the robustness of models by balancing in-sample and out-sample results.
• Key Projects: Expanding the universe of stocks traded by the current algorithm, creating new algorithms and possibly updating current sell-side / trader algos (market making).
• Incorporating trading indicators and market trends into existing models.
• Developing stationary indicators to predict price movements.
• Collaborating with the data analytics team to optimize model performance.

• Minimum 5-7 years of experience in data analytics, machine learning, and quantitative analysis.
• Proven experience working in complex financial systems and applications (e.g., trading platforms, payment systems, risk management systems).
• Strong understanding of financial products, capital markets, derivatives, and treasury operations.
• Strong understanding of Equities and trading.
• Hands-on experience with coding in Python, and the use of visualization tools.
• Must have experience with Machine Learning.
• Must have knowledge of Market Microstructure.
• 5+ Years of experience withinglobal markets.
• Proficiency inmachine learning.
• Proficiency intrading algos.
• 2+ Years of experience within Hedge fund.

• Data Analytics, Machine Learning, Quantitative Analysis, Complex Financial Systems, Capital Markets, Equities and Trading, Python, Market Microstructure, AWS, Global Markets, Azure DevOps, Service Now, High Frequency Data Techniques, Hedge Fund, Proficiency in SQL, Knowledge of statistical and ML (machine learning) techniques.
• Experience with ticketing systems (e.g., Azure DevOps (ADO), ServiceNow), change management tools.
• Deep understanding of financial products, trading systems, pre- and post-trade and high frequency data techniques.

• Strong analytical and problem-solving skills with the ability to troubleshoot complex issues in high-pressure environments.
• Excellent communication and interpersonal skills, with the ability to interact with both technical teams and business stakeholders.
• Strong organizational skills with attention to detail and the ability to manage multiple priorities.
• Proactive, self-motivated, and able to work independently and as part of a team.